https://phenome.jax.org/projects/Recla1
Founder genotypes from ftp://ftp.jax.org/MUGA/
Additional phenotypes at https://phenome.jax.org/projects/Chesler4 (in particular, http://phenomedoc.jax.org/MPD_projdatasets/Chesler4.csv)
recla.json
- Control file in JSON formatrecla_covar.csv
- covariate data (individuals x covariates)recla_pheno.csv
- phenotype data (individuals x phenotypes)recla_geno.csv
- genotype data (markers x individuals)do_foundergeno.csv
- founder genotype data (markers x founders)recla_gmap.csv
- Genetic map of markers (positions in cM)recla_pmap.csv
- Physical map of markers (positions in NCBI38/mm10 Mbp)
The data are also available as a zip file, recla.zip
.
See the R/qtl2 input file format.
Recla JM, Robledo RF, Gatti DM, Bult CJ, Churchill GA, Chesler EJ (2014) Precise genetic mapping and integrative bioinformatics in Diversity Outbred mice reveals Hydin as a novel pain gene. Mamm Genome 25:211-222
Logan RW, Robledo RF, Recla JM, Philip VM, Bubier JA, Jay JJ, Harwood C, Wilcox T, Gatti DM, Bult CJ, Churchill GA, Chesler EJ (2013) High-precision genetic mapping of behavioral traits in the diversity outbred mouse population. Genes Brain Behav 12:424-437
Use with R/qtl2
Load these data into R directly from the web as follows:
library(qtl2)
file <- paste0("https://raw.githubusercontent.com/rqtl/",
"qtl2data/main/DO_Recla/recla.zip")
recla <- read_cross2(file)